This report presents an analysis of the water and sanitation access challenge in the United States, leveraging both quantitative and qualitative research. It proposes a plan of action to ensure equitable water access in our lifetimes, highlighting opportunities for action by the water sector, government agencies, philanthropy, nonprofits, and the public. Finally, it showcases the promising approaches communities have developed to ensure that their residents can turn on the tap or flush the toilet without a second thought.
Read MoreAs Texas cities experience an increase in incidents associated with water quality contamination, the need for public education and engagement increases. The discussion in this paper identifies, based on publicly available data, three of the most common incidents in Texas related to drinking water and environmental contamination: boil water notices (BWNs), sanitary sewer overflows (SSOs), and lead in drinking water. Trends observed from 2011 to 2016 indicate a sharp upward increase in the incidents of such events. Increased frequency of incidents that threaten water quality often erodes public trust in the city and utility, thus making it more difficult in the long term to get public support for increased investment in water and wastewater infrastructure. The recommendations in this study focus on how to manage communications when events associated with water quality create a public relations challenge for city and utility leaders.
Read MoreThe application of poultry litter to agricultural land has become a topic of interest for policy makers due to public concern about its effects on water quality. The Soil and Water Assessment Tool (SWAT) version 2005 is designed to assess nonpoint and point sources of pollution. In this study, six subwatersheds in Texas (HUC‐8; 12070101) are used to evaluate the model's ability to simulate water quality at a small scale. Each of these subwatersheds randomly received poultry litter rates of 0.0 to 13.4 Mg ha-1. Monthly and daily data from 2002 were used for calibration purposes, while 2000, 2001, 2003, and 2004 were used for validation. The SCS runoff curve number for moisture condition II (CN2) and the soil evaporation compensation factor (ESCO) parameters were found to be more sensitive than the surface runoff lag time (SURLAG) and initial soil water content expressed as a fraction of field capacity (FFCB). The monthly and daily runoff model simulations for the six subwatersheds resulted in calibration Nash‐Sutcliffe efficiency (NSE) values of 0.59 and 0.53 and validation NSE values 0.82 and 0.80, respectively. The monthly and daily R2 runoff values for the six subwatersheds resulted in calibration values of at least 0.60 and 0.53 and validation R2 values of 0.86 and 0.81, respectively. The observed trends included SWAT's overestimation of runoff in the dry periods and underestimation in the wet periods. The monthly NSE and R2 values for sediment and nutrient losses were generally above 0.4 and 0.5, respectively. Paired t‐tests for the monthly manually adjusted parameter simulation of sediment, organic N and P, NO3-N, and soluble P for the 2000‐2004 period losses showed that their respective SWAT means were not significantly different from the measured values ( = 0.05), except for NO3-N losses for the Y10 subwatershed (p‐value 0.042). The control subwatershed's measured and simulated water quality results were significantly different ( = 0.05) from the treated subwatersheds, most likely due to the amount of inorganic N present. Almost all of the subwatersheds that had poultry litter applied resulted in higher sediment, organic N, organic P, and soluble P losses than the control subwatershed upon averaging the monthly validation values. High NO3-N losses may have been a function of poultry litter and commercial fertilizers being applied before a large rainfall event occurred. The subwatersheds that received smaller amounts of commercial fertilizer and/or poultry litter lost more sediment, organic N, and organic P than the subwatersheds that received the higher litter and/or fertilizer treatments. Overall, the SWAT simulated the hydrology and the water quality constituents at the subwatershed scale more adequately when all of the data were used to simulate the model, as evidenced by statistical measures.
Read MoreSeveral best management practices (BMPs) have been implemented through Water Quality Management Plans (WQMPs) in the West Fork Watershed of Trinity River Basin in Texas, USA, where nonpoint source pollution is a serious concern. Major sources of pollution are sediment erosion and nutrients. The objective of this study was to evaluate the long-term impact of implementation of WQMPs on nonpoint source pollution at the farm level and watershed level using a modeling approach. The Soil and Water Assessment Tool watershed model was applied to quantify the impacts of implementing WQMPs on sediment and nutrients. A pre- BMP scenario representing conditions of the watershed prior to the implementation of WQMPs, and a post-BMP scenario representing the conditions of the watershed after implementation of WQMPs were simulated to estimate the reductions in nonpoint source pollution due to WQMP implementation. The results are presented as percentage reductions in sediment and nutrient loadings, at the farm level and at two locations within the watershed. The results revealed that (a) the benefits of the WQMPs were greater (up to 99%) at the farm level and (b) the benefits due to WQMPs were 1e2% at the watershed level. Watershed level benefits are tangible as the WQMP implementation area is very small compared to the watershed area. An additional scenario was evaluated to show the possible impacts of expanding the current BMP effort on load reductions. This study showed that a modeling approach can be used to estimate the impacts of water quality management programs in large watersheds.
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